Reporte Housing Pricing

Dataset statistics

Number of variables	37
Number of observations	1460
Missing cells	1571
Missing cells (%)	2.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	244.0 KiB
Average record size in memory	171.1 B

Variable types

Numeric	17
Categorical	19
DateTime	1

Alerts

`YearBuilt` is highly correlated with `YearRemodAdd` and 4 other fields	High correlation
`YearRemodAdd` is highly correlated with `YearBuilt` and 2 other fields	High correlation
`GrLivArea` is highly correlated with `2ndFlrSF` and 5 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`2ndFlrSF` is highly correlated with `GrLivArea` and 2 other fields	High correlation
`FullBath` is highly correlated with `YearBuilt` and 4 other fields	High correlation
`HalfBath` is highly correlated with `2ndFlrSF`	High correlation
`BedroomAbvGr` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`GarageCars` is highly correlated with `YearBuilt` and 4 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 5 other fields	High correlation
`SalePrice` is highly correlated with `YearBuilt` and 7 other fields	High correlation
`YearBuilt` is highly correlated with `YearRemodAdd` and 3 other fields	High correlation
`YearRemodAdd` is highly correlated with `YearBuilt` and 2 other fields	High correlation
`GrLivArea` is highly correlated with `1stFlrSF` and 5 other fields	High correlation
`1stFlrSF` is highly correlated with `GrLivArea` and 2 other fields	High correlation
`2ndFlrSF` is highly correlated with `GrLivArea` and 2 other fields	High correlation
`FullBath` is highly correlated with `GrLivArea` and 2 other fields	High correlation
`HalfBath` is highly correlated with `2ndFlrSF`	High correlation
`BedroomAbvGr` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 2 other fields	High correlation
`GarageCars` is highly correlated with `YearBuilt` and 2 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 6 other fields	High correlation
`SalePrice` is highly correlated with `YearBuilt` and 7 other fields	High correlation
`YearBuilt` is highly correlated with `YearRemodAdd` and 1 other fields	High correlation
`YearRemodAdd` is highly correlated with `YearBuilt`	High correlation
`GrLivArea` is highly correlated with `2ndFlrSF` and 2 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF`	High correlation
`2ndFlrSF` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`FullBath` is highly correlated with `GrLivArea` and 2 other fields	High correlation
`HalfBath` is highly correlated with `2ndFlrSF`	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF`	High correlation
`GarageCars` is highly correlated with `OverallQual` and 1 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 3 other fields	High correlation
`SalePrice` is highly correlated with `GrLivArea` and 3 other fields	High correlation
`CentralAir` is highly correlated with `PoolQC`	High correlation
`Heating` is highly correlated with `PoolQC`	High correlation
`BldgType` is highly correlated with `PoolQC`	High correlation
`Utilities` is highly correlated with `PoolQC`	High correlation
`Foundation` is highly correlated with `PoolQC`	High correlation
`SalePriceQCut` is highly correlated with `Neighborhood`	High correlation
`PoolQC` is highly correlated with `CentralAir` and 8 other fields	High correlation
`Neighborhood` is highly correlated with `SalePriceQCut` and 1 other fields	High correlation
`LandSlope` is highly correlated with `PoolQC`	High correlation
`SaleCondition` is highly correlated with `PoolQC`	High correlation
`BsmtCond` is highly correlated with `PoolQC`	High correlation
`Id` is highly correlated with `PoolQC`	High correlation
`LotArea` is highly correlated with `LandSlope` and 1 other fields	High correlation
`LandSlope` is highly correlated with `LotArea` and 2 other fields	High correlation
`Neighborhood` is highly correlated with `LandSlope` and 19 other fields	High correlation
`BldgType` is highly correlated with `Neighborhood` and 2 other fields	High correlation
`YearBuilt` is highly correlated with `Neighborhood` and 15 other fields	High correlation
`YearRemodAdd` is highly correlated with `Neighborhood` and 7 other fields	High correlation
`Foundation` is highly correlated with `Neighborhood` and 7 other fields	High correlation
`RoofMatl` is highly correlated with `RoofStyle` and 5 other fields	High correlation
`RoofStyle` is highly correlated with `LandSlope` and 1 other fields	High correlation
`Exterior1st` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`ExterCond` is highly correlated with `OverallCond`	High correlation
`GrLivArea` is highly correlated with `Neighborhood` and 13 other fields	High correlation
`1stFlrSF` is highly correlated with `Neighborhood` and 9 other fields	High correlation
`2ndFlrSF` is highly correlated with `Neighborhood` and 8 other fields	High correlation
`FullBath` is highly correlated with `Neighborhood` and 9 other fields	High correlation
`HalfBath` is highly correlated with `Neighborhood` and 2 other fields	High correlation
`BedroomAbvGr` is highly correlated with `GrLivArea` and 2 other fields	High correlation
`KitchenAbvGr` is highly correlated with `BldgType`	High correlation
`KitchenQual` is highly correlated with `Neighborhood` and 8 other fields	High correlation
`TotalBsmtSF` is highly correlated with `RoofMatl` and 6 other fields	High correlation
`BsmtCond` is highly correlated with `OverallQual` and 1 other fields	High correlation
`GarageType` is highly correlated with `Neighborhood` and 2 other fields	High correlation
`GarageCars` is highly correlated with `Neighborhood` and 7 other fields	High correlation
`PoolArea` is highly correlated with `RoofMatl` and 3 other fields	High correlation
`PoolQC` is highly correlated with `Id` and 20 other fields	High correlation
`Heating` is highly correlated with `Foundation` and 1 other fields	High correlation
`HeatingQC` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`CentralAir` is highly correlated with `YearBuilt` and 4 other fields	High correlation
`OverallQual` is highly correlated with `Neighborhood` and 13 other fields	High correlation
`OverallCond` is highly correlated with `Neighborhood` and 4 other fields	High correlation
`SaleType` is highly correlated with `PoolQC` and 1 other fields	High correlation
`SaleCondition` is highly correlated with `PoolQC` and 1 other fields	High correlation
`SalePrice` is highly correlated with `Neighborhood` and 13 other fields	High correlation
`SalePriceQCut` is highly correlated with `Neighborhood` and 9 other fields	High correlation
`BsmtCond` has 37 (2.5%) missing values	Missing
`GarageType` has 81 (5.5%) missing values	Missing
`PoolQC` has 1453 (99.5%) missing values	Missing
`Id` is uniformly distributed	Uniform
`Id` has unique values	Unique
`2ndFlrSF` has 829 (56.8%) zeros	Zeros
`HalfBath` has 913 (62.5%) zeros	Zeros
`TotalBsmtSF` has 37 (2.5%) zeros	Zeros
`GarageCars` has 81 (5.5%) zeros	Zeros
`PoolArea` has 1453 (99.5%) zeros	Zeros

Reproduction

Analysis started	2022-05-01 23:47:57.041162
Analysis finished	2022-05-01 23:48:26.060850
Duration	29.02 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1460
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	730.5

Minimum	1
Maximum	1460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	73.95
Q1	365.75
median	730.5
Q3	1095.25
95-th percentile	1387.05
Maximum	1460
Range	1459
Interquartile range (IQR)	729.5

Descriptive statistics

Standard deviation	421.6100094
Coefficient of variation (CV)	0.577152648
Kurtosis	-1.2
Mean	730.5
Median Absolute Deviation (MAD)	365
Skewness	0
Sum	1066530
Variance	177755
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
982	1	0.1%
980	1	0.1%
979	1	0.1%
978	1	0.1%
977	1	0.1%
976	1	0.1%
975	1	0.1%
974	1	0.1%
973	1	0.1%
Other values (1450)	1450	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1460	1	0.1%
1459	1	0.1%
1458	1	0.1%
1457	1	0.1%
1456	1	0.1%
1455	1	0.1%
1454	1	0.1%
1453	1	0.1%
1452	1	0.1%
1451	1	0.1%

LotArea
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1073
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10516.82808

Minimum	1300
Maximum	215245
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1300
5-th percentile	3311.7
Q1	7553.5
median	9478.5
Q3	11601.5
95-th percentile	17401.15
Maximum	215245
Range	213945
Interquartile range (IQR)	4048

Descriptive statistics

Standard deviation	9981.264932
Coefficient of variation (CV)	0.949075601
Kurtosis	203.243271
Mean	10516.82808
Median Absolute Deviation (MAD)	1998
Skewness	12.20768785
Sum	15354569
Variance	99625649.65
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7200	25	1.7%
9600	24	1.6%
6000	17	1.2%
9000	14	1.0%
8400	14	1.0%
10800	14	1.0%
1680	10	0.7%
7500	9	0.6%
9100	8	0.5%
8125	8	0.5%
Other values (1063)	1317	90.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1300	1	0.1%
1477	1	0.1%
1491	1	0.1%
1526	1	0.1%
1533	2	0.1%
1596	1	0.1%
1680	10	0.7%
1869	1	0.1%
1890	2	0.1%
1920	1	0.1%

Value	Count	Frequency (%)
215245	1	0.1%
164660	1	0.1%
159000	1	0.1%
115149	1	0.1%
70761	1	0.1%
63887	1	0.1%
57200	1	0.1%
53504	1	0.1%
53227	1	0.1%
53107	1	0.1%

LandSlope
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.8 KiB

Gtl	1382
Mod	65
Sev	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gtl
2nd row	Gtl
3rd row	Gtl
4th row	Gtl
5th row	Gtl

Common Values

Value	Count	Frequency (%)
Gtl	1382	94.7%
Mod	65	4.5%
Sev	13	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gtl	1382	94.7%
mod	65	4.5%
sev	13	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Neighborhood
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

NAmes	225
CollgCr	150
OldTown	113
Edwards	100
Somerst	86
Other values (20)	786

Length

Max length	7
Median length	7
Mean length	6.494520548
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CollgCr
2nd row	Veenker
3rd row	CollgCr
4th row	Crawfor
5th row	NoRidge

Common Values

Value	Count	Frequency (%)
NAmes	225	15.4%
CollgCr	150	10.3%
OldTown	113	7.7%
Edwards	100	6.8%
Somerst	86	5.9%
Gilbert	79	5.4%
NridgHt	77	5.3%
Sawyer	74	5.1%
NWAmes	73	5.0%
SawyerW	59	4.0%
Other values (15)	424	29.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
names	225	15.4%
collgcr	150	10.3%
oldtown	113	7.7%
edwards	100	6.8%
somerst	86	5.9%
gilbert	79	5.4%
nridght	77	5.3%
sawyer	74	5.1%
nwames	73	5.0%
sawyerw	59	4.0%
Other values (15)	424	29.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BldgType
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1Fam	1220
TwnhsE	114
Duplex	52
Twnhs	43
2fmCon	31

Length

Max length	6
Median length	4
Mean length	4.299315068
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1Fam
2nd row	1Fam
3rd row	1Fam
4th row	1Fam
5th row	1Fam

Common Values

Value	Count	Frequency (%)
1Fam	1220	83.6%
TwnhsE	114	7.8%
Duplex	52	3.6%
Twnhs	43	2.9%
2fmCon	31	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1fam	1220	83.6%
twnhse	114	7.8%
duplex	52	3.6%
twnhs	43	2.9%
2fmcon	31	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

YearBuilt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	112
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1971.267808

Minimum	1872
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1872
5-th percentile	1916
Q1	1954
median	1973
Q3	2000
95-th percentile	2007
Maximum	2010
Range	138
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	30.20290404
Coefficient of variation (CV)	0.01532156307
Kurtosis	-0.4395519416
Mean	1971.267808
Median Absolute Deviation (MAD)	25
Skewness	-0.6134611725
Sum	2878051
Variance	912.2154126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2006	67	4.6%
2005	64	4.4%
2004	54	3.7%
2007	49	3.4%
2003	45	3.1%
1976	33	2.3%
1977	32	2.2%
1920	30	2.1%
1959	26	1.8%
1998	25	1.7%
Other values (102)	1035	70.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1872	1	0.1%
1875	1	0.1%
1880	4	0.3%
1882	1	0.1%
1885	2	0.1%
1890	2	0.1%
1892	2	0.1%
1893	1	0.1%
1898	1	0.1%
1900	10	0.7%

Value	Count	Frequency (%)
2010	1	0.1%
2009	18	1.2%
2008	23	1.6%
2007	49	3.4%
2006	67	4.6%
2005	64	4.4%
2004	54	3.7%
2003	45	3.1%
2002	23	1.6%
2001	20	1.4%

YearRemodAdd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	61
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1984.865753

Minimum	1950
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1950
5-th percentile	1950
Q1	1967
median	1994
Q3	2004
95-th percentile	2007
Maximum	2010
Range	60
Interquartile range (IQR)	37

Descriptive statistics

Standard deviation	20.64540681
Coefficient of variation (CV)	0.01040141217
Kurtosis	-1.272245192
Mean	1984.865753
Median Absolute Deviation (MAD)	13
Skewness	-0.5035620027
Sum	2897904
Variance	426.2328223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	178	12.2%
2006	97	6.6%
2007	76	5.2%
2005	73	5.0%
2004	62	4.2%
2000	55	3.8%
2003	51	3.5%
2002	48	3.3%
2008	40	2.7%
1996	36	2.5%
Other values (51)	744	51.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1950	178	12.2%
1951	4	0.3%
1952	5	0.3%
1953	10	0.7%
1954	14	1.0%
1955	9	0.6%
1956	10	0.7%
1957	9	0.6%
1958	15	1.0%
1959	18	1.2%

Value	Count	Frequency (%)
2010	6	0.4%
2009	23	1.6%
2008	40	2.7%
2007	76	5.2%
2006	97	6.6%
2005	73	5.0%
2004	62	4.2%
2003	51	3.5%
2002	48	3.3%
2001	21	1.4%

Utilities
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 KiB

AllPub	1459
NoSeWa	1

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	AllPub
2nd row	AllPub
3rd row	AllPub
4th row	AllPub
5th row	AllPub

Common Values

Value	Count	Frequency (%)
AllPub	1459	99.9%
NoSeWa	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
allpub	1459	99.9%
nosewa	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Foundation
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

PConc	647
CBlock	634
BrkTil	146
Slab	24
Stone	6

Length

Max length	6
Median length	6
Mean length	5.515753425
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PConc
2nd row	CBlock
3rd row	PConc
4th row	BrkTil
5th row	PConc

Common Values

Value	Count	Frequency (%)
PConc	647	44.3%
CBlock	634	43.4%
BrkTil	146	10.0%
Slab	24	1.6%
Stone	6	0.4%
Wood	3	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pconc	647	44.3%
cblock	634	43.4%
brktil	146	10.0%
slab	24	1.6%
stone	6	0.4%
wood	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

RoofMatl
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

CompShg	1434
Tar&Grv	11
WdShngl	6
WdShake	5
ClyTile	1
Other values (3)	3

Length

Max length	7
Median length	7
Mean length	6.996575342
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.3%

Sample

1st row	CompShg
2nd row	CompShg
3rd row	CompShg
4th row	CompShg
5th row	CompShg

Common Values

Value	Count	Frequency (%)
CompShg	1434	98.2%
Tar&Grv	11	0.8%
WdShngl	6	0.4%
WdShake	5	0.3%
ClyTile	1	0.1%
Membran	1	0.1%
Metal	1	0.1%
Roll	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
compshg	1434	98.2%
tar&grv	11	0.8%
wdshngl	6	0.4%
wdshake	5	0.3%
clytile	1	0.1%
membran	1	0.1%
metal	1	0.1%
roll	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

RoofStyle
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

Gable	1141
Hip	286
Flat	13
Gambrel	11
Mansard	7

Length

Max length	7
Median length	5
Mean length	4.62260274
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gable
2nd row	Gable
3rd row	Gable
4th row	Gable
5th row	Gable

Common Values

Value	Count	Frequency (%)
Gable	1141	78.2%
Hip	286	19.6%
Flat	13	0.9%
Gambrel	11	0.8%
Mansard	7	0.5%
Shed	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gable	1141	78.2%
hip	286	19.6%
flat	13	0.9%
gambrel	11	0.8%
mansard	7	0.5%
shed	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Exterior1st
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

VinylSd	515
HdBoard	222
MetalSd	220
Wd Sdng	206
Plywood	108
Other values (10)	189

Length

Max length	7
Median length	7
Mean length	6.979452055
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	VinylSd
2nd row	MetalSd
3rd row	VinylSd
4th row	Wd Sdng
5th row	VinylSd

Common Values

Value	Count	Frequency (%)
VinylSd	515	35.3%
HdBoard	222	15.2%
MetalSd	220	15.1%
Wd Sdng	206	14.1%
Plywood	108	7.4%
CemntBd	61	4.2%
BrkFace	50	3.4%
WdShing	26	1.8%
Stucco	25	1.7%
AsbShng	20	1.4%
Other values (5)	7	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vinylsd	515	30.9%
hdboard	222	13.3%
metalsd	220	13.2%
wd	206	12.4%
sdng	206	12.4%
plywood	108	6.5%
cemntbd	61	3.7%
brkface	50	3.0%
wdshing	26	1.6%
stucco	25	1.5%
Other values (6)	27	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ExterCond
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

TA	1282
Gd	146
Fa	28
Ex	3
Po	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1282	87.8%
Gd	146	10.0%
Fa	28	1.9%
Ex	3	0.2%
Po	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	1282	87.8%
gd	146	10.0%
fa	28	1.9%
ex	3	0.2%
po	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GrLivArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	861
Distinct (%)	59.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1515.463699

Minimum	334
Maximum	5642
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	848
Q1	1129.5
median	1464
Q3	1776.75
95-th percentile	2466.1
Maximum	5642
Range	5308
Interquartile range (IQR)	647.25

Descriptive statistics

Standard deviation	525.4803834
Coefficient of variation (CV)	0.3467456092
Kurtosis	4.895120581
Mean	1515.463699
Median Absolute Deviation (MAD)	326
Skewness	1.366560356
Sum	2212577
Variance	276129.6334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	22	1.5%
1040	14	1.0%
894	11	0.8%
1456	10	0.7%
848	10	0.7%
1200	9	0.6%
912	9	0.6%
816	8	0.5%
1092	8	0.5%
1728	7	0.5%
Other values (851)	1352	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	0.1%
438	1	0.1%
480	1	0.1%
520	1	0.1%
605	1	0.1%
616	1	0.1%
630	6	0.4%
672	2	0.1%
691	1	0.1%
693	1	0.1%

Value	Count	Frequency (%)
5642	1	0.1%
4676	1	0.1%
4476	1	0.1%
4316	1	0.1%
3627	1	0.1%
3608	1	0.1%
3493	1	0.1%
3447	1	0.1%
3395	1	0.1%
3279	1	0.1%

1stFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	753
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1162.626712

Minimum	334
Maximum	4692
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	672.95
Q1	882
median	1087
Q3	1391.25
95-th percentile	1831.25
Maximum	4692
Range	4358
Interquartile range (IQR)	509.25

Descriptive statistics

Standard deviation	386.587738
Coefficient of variation (CV)	0.3325123481
Kurtosis	5.745841482
Mean	1162.626712
Median Absolute Deviation (MAD)	234.5
Skewness	1.376756622
Sum	1697435
Variance	149450.0792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	25	1.7%
1040	16	1.1%
912	14	1.0%
894	12	0.8%
848	12	0.8%
672	11	0.8%
630	9	0.6%
816	9	0.6%
483	7	0.5%
960	7	0.5%
Other values (743)	1338	91.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	0.1%
372	1	0.1%
438	1	0.1%
480	1	0.1%
483	7	0.5%
495	1	0.1%
520	5	0.3%
525	1	0.1%
526	1	0.1%
536	1	0.1%

Value	Count	Frequency (%)
4692	1	0.1%
3228	1	0.1%
3138	1	0.1%
2898	1	0.1%
2633	1	0.1%
2524	1	0.1%
2515	1	0.1%
2444	1	0.1%
2411	1	0.1%
2402	1	0.1%

2ndFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	417
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	346.9924658

Minimum	0
Maximum	2065
Zeros	829
Zeros (%)	56.8%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	728
95-th percentile	1141.05
Maximum	2065
Range	2065
Interquartile range (IQR)	728

Descriptive statistics

Standard deviation	436.5284359
Coefficient of variation (CV)	1.258034335
Kurtosis	-0.5534635576
Mean	346.9924658
Median Absolute Deviation (MAD)	0
Skewness	0.8130298163
Sum	506609
Variance	190557.0753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	829	56.8%
728	10	0.7%
504	9	0.6%
546	8	0.5%
672	8	0.5%
600	7	0.5%
720	7	0.5%
896	6	0.4%
862	5	0.3%
780	5	0.3%
Other values (407)	566	38.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	829	56.8%
110	1	0.1%
167	1	0.1%
192	1	0.1%
208	1	0.1%
213	1	0.1%
220	1	0.1%
224	1	0.1%
240	2	0.1%
252	2	0.1%

Value	Count	Frequency (%)
2065	1	0.1%
1872	1	0.1%
1818	1	0.1%
1796	1	0.1%
1611	1	0.1%
1589	1	0.1%
1540	1	0.1%
1538	1	0.1%
1523	1	0.1%
1519	1	0.1%

FullBath
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.565068493

Minimum	0
Maximum	3
Zeros	9
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	2
Maximum	3
Range	3
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5509158013
Coefficient of variation (CV)	0.3520074704
Kurtosis	-0.8570428213
Mean	1.565068493
Median Absolute Deviation (MAD)	0
Skewness	0.0365615584
Sum	2285
Variance	0.3035082201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=4)

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	0.6%
1	650	44.5%
2	768	52.6%
3	33	2.3%

Value	Count	Frequency (%)
3	33	2.3%
2	768	52.6%
1	650	44.5%
0	9	0.6%

HalfBath
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3828767123

Minimum	0
Maximum	2
Zeros	913
Zeros (%)	62.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	1
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5028853811
Coefficient of variation (CV)	1.313439457
Kurtosis	-1.076927284
Mean	0.3828767123
Median Absolute Deviation (MAD)	0
Skewness	0.6758974482
Sum	559
Variance	0.2528937065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=3)

Value	Count	Frequency (%)
0	913	62.5%
1	535	36.6%
2	12	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	913	62.5%
1	535	36.6%
2	12	0.8%

Value	Count	Frequency (%)
2	12	0.8%
1	535	36.6%
0	913	62.5%

BedroomAbvGr
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.866438356

Minimum	0
Maximum	8
Zeros	6
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8157780441
Coefficient of variation (CV)	0.2845964025
Kurtosis	2.230874582
Mean	2.866438356
Median Absolute Deviation (MAD)	0
Skewness	0.2117900963
Sum	4185
Variance	0.6654938173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	804	55.1%
2	358	24.5%
4	213	14.6%
1	50	3.4%
5	21	1.4%
6	7	0.5%
0	6	0.4%
8	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.4%
1	50	3.4%
2	358	24.5%
3	804	55.1%
4	213	14.6%
5	21	1.4%
6	7	0.5%
8	1	0.1%

Value	Count	Frequency (%)
8	1	0.1%
6	7	0.5%
5	21	1.4%
4	213	14.6%
3	804	55.1%
2	358	24.5%
1	50	3.4%
0	6	0.4%

KitchenAbvGr
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.046575342

Minimum	0
Maximum	3
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	3
Range	3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2203381984
Coefficient of variation (CV)	0.2105325718
Kurtosis	21.53240384
Mean	1.046575342
Median Absolute Deviation (MAD)	0
Skewness	4.488396777
Sum	1528
Variance	0.04854892167
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=4)

Value	Count	Frequency (%)
1	1392	95.3%
2	65	4.5%
3	2	0.1%
0	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1392	95.3%
2	65	4.5%
3	2	0.1%

Value	Count	Frequency (%)
3	2	0.1%
2	65	4.5%
1	1392	95.3%
0	1	0.1%

KitchenQual
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

TA	735
Gd	586
Ex	100
Fa	39

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	TA
3rd row	Gd
4th row	Gd
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	735	50.3%
Gd	586	40.1%
Ex	100	6.8%
Fa	39	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	735	50.3%
gd	586	40.1%
ex	100	6.8%
fa	39	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

TotalBsmtSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	721
Distinct (%)	49.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1057.429452

Minimum	0
Maximum	6110
Zeros	37
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	519.3
Q1	795.75
median	991.5
Q3	1298.25
95-th percentile	1753
Maximum	6110
Range	6110
Interquartile range (IQR)	502.5

Descriptive statistics

Standard deviation	438.7053245
Coefficient of variation (CV)	0.4148790481
Kurtosis	13.25048328
Mean	1057.429452
Median Absolute Deviation (MAD)	234.5
Skewness	1.524254549
Sum	1543847
Variance	192462.3617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37	2.5%
864	35	2.4%
672	17	1.2%
912	15	1.0%
1040	14	1.0%
816	13	0.9%
768	12	0.8%
728	12	0.8%
894	11	0.8%
780	11	0.8%
Other values (711)	1283	87.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37	2.5%
105	1	0.1%
190	1	0.1%
264	3	0.2%
270	1	0.1%
290	1	0.1%
319	1	0.1%
360	1	0.1%
372	1	0.1%
384	7	0.5%

Value	Count	Frequency (%)
6110	1	0.1%
3206	1	0.1%
3200	1	0.1%
3138	1	0.1%
3094	1	0.1%
2633	1	0.1%
2524	1	0.1%
2444	1	0.1%
2396	1	0.1%
2392	1	0.1%

BsmtCond
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	37
Missing (%)	2.5%
Memory size	1.9 KiB

TA	1311
Gd	65
Fa	45
Po	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	Gd
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1311	89.8%
Gd	65	4.5%
Fa	45	3.1%
Po	2	0.1%
(Missing)	37	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	1311	92.1%
gd	65	4.6%
fa	45	3.2%
po	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageType
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	81
Missing (%)	5.5%
Memory size	2.1 KiB

Attchd	870
Detchd	387
BuiltIn	88
Basment	19
CarPort	9

Length

Max length	7
Median length	6
Mean length	6.084118927
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Attchd
2nd row	Attchd
3rd row	Attchd
4th row	Detchd
5th row	Attchd

Common Values

Value	Count	Frequency (%)
Attchd	870	59.6%
Detchd	387	26.5%
BuiltIn	88	6.0%
Basment	19	1.3%
CarPort	9	0.6%
2Types	6	0.4%
(Missing)	81	5.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
attchd	870	63.1%
detchd	387	28.1%
builtin	88	6.4%
basment	19	1.4%
carport	9	0.7%
2types	6	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageCars
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.767123288

Minimum	0
Maximum	4
Zeros	81
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7473150101
Coefficient of variation (CV)	0.4228991918
Kurtosis	0.220997764
Mean	1.767123288
Median Absolute Deviation (MAD)	0
Skewness	-0.3425489297
Sum	2580
Variance	0.5584797243
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	81	5.5%
1	369	25.3%
2	824	56.4%
3	181	12.4%
4	5	0.3%

Value	Count	Frequency (%)
4	5	0.3%
3	181	12.4%
2	824	56.4%
1	369	25.3%
0	81	5.5%

PoolArea
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.75890411

Minimum	0
Maximum	738
Zeros	1453
Zeros (%)	99.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	738
Range	738
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	40.17730694
Coefficient of variation (CV)	14.56277759
Kurtosis	223.2684989
Mean	2.75890411
Median Absolute Deviation (MAD)	0
Skewness	14.82837364
Sum	4028
Variance	1614.215993
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	1453	99.5%
512	1	0.1%
648	1	0.1%
576	1	0.1%
555	1	0.1%
480	1	0.1%
519	1	0.1%
738	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1453	99.5%
480	1	0.1%
512	1	0.1%
519	1	0.1%
555	1	0.1%
576	1	0.1%
648	1	0.1%
738	1	0.1%

Value	Count	Frequency (%)
738	1	0.1%
648	1	0.1%
576	1	0.1%
555	1	0.1%
519	1	0.1%
512	1	0.1%
480	1	0.1%
0	1453	99.5%

PoolQC
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	42.9%
Missing	1453
Missing (%)	99.5%
Memory size	1.8 KiB

Gd	3
Ex	2
Fa	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ex
2nd row	Fa
3rd row	Gd
4th row	Ex
5th row	Gd

Common Values

Value	Count	Frequency (%)
Gd	3	0.2%
Ex	2	0.1%
Fa	2	0.1%
(Missing)	1453	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gd	3	42.9%
ex	2	28.6%
fa	2	28.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Heating
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

GasA	1428
GasW	18
Grav	7
Wall	4
OthW	2

Length

Max length	5
Median length	4
Mean length	4.000684932
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	GasA
2nd row	GasA
3rd row	GasA
4th row	GasA
5th row	GasA

Common Values

Value	Count	Frequency (%)
GasA	1428	97.8%
GasW	18	1.2%
Grav	7	0.5%
Wall	4	0.3%
OthW	2	0.1%
Floor	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gasa	1428	97.8%
gasw	18	1.2%
grav	7	0.5%
wall	4	0.3%
othw	2	0.1%
floor	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HeatingQC
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Ex	741
TA	428
Gd	241
Fa	49
Po	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Ex
2nd row	Ex
3rd row	Ex
4th row	Gd
5th row	Ex

Common Values

Value	Count	Frequency (%)
Ex	741	50.8%
TA	428	29.3%
Gd	241	16.5%
Fa	49	3.4%
Po	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ex	741	50.8%
ta	428	29.3%
gd	241	16.5%
fa	49	3.4%
po	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CentralAir
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 KiB

Y	1365
N	95

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Y
2nd row	Y
3rd row	Y
4th row	Y
5th row	Y

Common Values

Value	Count	Frequency (%)
Y	1365	93.5%
N	95	6.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
y	1365	93.5%
n	95	6.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

OverallQual
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.099315068

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.382996547
Coefficient of variation (CV)	0.2267462053
Kurtosis	0.09629277836
Mean	6.099315068
Median Absolute Deviation (MAD)	1
Skewness	0.2169439278
Sum	8905
Variance	1.912679448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	397	27.2%
6	374	25.6%
7	319	21.8%
8	168	11.5%
4	116	7.9%
9	43	2.9%
3	20	1.4%
10	18	1.2%
2	3	0.2%
1	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	0.1%
2	3	0.2%
3	20	1.4%
4	116	7.9%
5	397	27.2%
6	374	25.6%
7	319	21.8%
8	168	11.5%
9	43	2.9%
10	18	1.2%

Value	Count	Frequency (%)
10	18	1.2%
9	43	2.9%
8	168	11.5%
7	319	21.8%
6	374	25.6%
5	397	27.2%
4	116	7.9%
3	20	1.4%
2	3	0.2%
1	2	0.1%

OverallCond
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.575342466

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	5
Q3	6
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.112799337
Coefficient of variation (CV)	0.1995930014
Kurtosis	1.106413461
Mean	5.575342466
Median Absolute Deviation (MAD)	0
Skewness	0.6930674725
Sum	8140
Variance	1.238322364
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
5	821	56.2%
6	252	17.3%
7	205	14.0%
8	72	4.9%
4	57	3.9%
3	25	1.7%
9	22	1.5%
2	5	0.3%
1	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	5	0.3%
3	25	1.7%
4	57	3.9%
5	821	56.2%
6	252	17.3%
7	205	14.0%
8	72	4.9%
9	22	1.5%

Value	Count	Frequency (%)
9	22	1.5%
8	72	4.9%
7	205	14.0%
6	252	17.3%
5	821	56.2%
4	57	3.9%
3	25	1.7%
2	5	0.3%
1	1	0.1%

DateSold
Date

Distinct	671
Distinct (%)	46.0%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Minimum	1872-01-12 00:00:00
Maximum	2010-01-06 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

SaleType
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	2.4 KiB

WD	1267
New	122
COD	43
ConLD	9
ConLI	5
Other values (4)	14

Length

Max length	5
Median length	2
Mean length	2.158219178
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WD
2nd row	WD
3rd row	WD
4th row	WD
5th row	WD

Common Values

Value	Count	Frequency (%)
WD	1267	86.8%
New	122	8.4%
COD	43	2.9%
ConLD	9	0.6%
ConLI	5	0.3%
ConLw	5	0.3%
CWD	4	0.3%
Oth	3	0.2%
Con	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
wd	1267	86.8%
new	122	8.4%
cod	43	2.9%
conld	9	0.6%
conli	5	0.3%
conlw	5	0.3%
cwd	4	0.3%
oth	3	0.2%
con	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SaleCondition
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

Normal	1198
Partial	125
Abnorml	101
Family	20
Alloca	12

Length

Max length	7
Median length	6
Mean length	6.157534247
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Normal
3rd row	Normal
4th row	Abnorml
5th row	Normal

Common Values

Value	Count	Frequency (%)
Normal	1198	82.1%
Partial	125	8.6%
Abnorml	101	6.9%
Family	20	1.4%
Alloca	12	0.8%
AdjLand	4	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	1198	82.1%
partial	125	8.6%
abnorml	101	6.9%
family	20	1.4%
alloca	12	0.8%
adjland	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SalePrice
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	663
Distinct (%)	45.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180921.1959

Minimum	34900
Maximum	755000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	34900
5-th percentile	88000
Q1	129975
median	163000
Q3	214000
95-th percentile	326100
Maximum	755000
Range	720100
Interquartile range (IQR)	84025

Descriptive statistics

Standard deviation	79442.50288
Coefficient of variation (CV)	0.4391000319
Kurtosis	6.53628186
Mean	180921.1959
Median Absolute Deviation (MAD)	38000
Skewness	1.88287576
Sum	264144946
Variance	6311111264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
140000	20	1.4%
135000	17	1.2%
155000	14	1.0%
145000	14	1.0%
190000	13	0.9%
110000	13	0.9%
115000	12	0.8%
160000	12	0.8%
130000	11	0.8%
139000	11	0.8%
Other values (653)	1323	90.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
34900	1	0.1%
35311	1	0.1%
37900	1	0.1%
39300	1	0.1%
40000	1	0.1%
52000	1	0.1%
52500	1	0.1%
55000	2	0.1%
55993	1	0.1%
58500	1	0.1%

Value	Count	Frequency (%)
755000	1	0.1%
745000	1	0.1%
625000	1	0.1%
611657	1	0.1%
582933	1	0.1%
556581	1	0.1%
555000	1	0.1%
538000	1	0.1%
501837	1	0.1%
485000	1	0.1%

SalePriceQCut
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Low-Mid	367
Mid-High	366
Low	365
High	362

Length

Max length	8
Median length	7
Mean length	5.506849315
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mid-High
2nd row	Mid-High
3rd row	High
4th row	Low-Mid
5th row	High

Common Values

Value	Count	Frequency (%)
Low-Mid	367	25.1%
Mid-High	366	25.1%
Low	365	25.0%
High	362	24.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
low-mid	367	25.1%
mid-high	366	25.1%
low	365	25.0%
high	362	24.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Id	LotArea	LandSlope	Neighborhood	BldgType	YearBuilt	YearRemodAdd	Utilities	Foundation	RoofMatl	RoofStyle	Exterior1st	ExterCond	GrLivArea	1stFlrSF	2ndFlrSF	FullBath	HalfBath	BedroomAbvGr	KitchenAbvGr	KitchenQual	TotalBsmtSF	BsmtCond	GarageType	GarageCars	PoolQC	Heating	HeatingQC	CentralAir	OverallQual	OverallCond	DateSold	SaleType	SaleCondition	SalePrice	SalePriceQCut
0	1	8450	Gtl	CollgCr	1Fam	2003	2003	AllPub	PConc	CompShg	Gable	VinylSd	TA	1710	856	854	2	1	3	1	Gd	856	TA	Attchd	2	NaN	GasA	Ex	Y	7	5	2003-01-02	WD	Normal	208500	Mid-High
1	2	9600	Gtl	Veenker	1Fam	1976	1976	AllPub	CBlock	CompShg	Gable	MetalSd	TA	1262	1262	0	2	0	3	1	TA	1262	TA	Attchd	2	NaN	GasA	Ex	Y	6	8	1976-01-05	WD	Normal	181500	Mid-High
2	3	11250	Gtl	CollgCr	1Fam	2001	2002	AllPub	PConc	CompShg	Gable	VinylSd	TA	1786	920	866	2	1	3	1	Gd	920	TA	Attchd	2	NaN	GasA	Ex	Y	7	5	2001-01-09	WD	Normal	223500	High
3	4	9550	Gtl	Crawfor	1Fam	1915	1970	AllPub	BrkTil	CompShg	Gable	Wd Sdng	TA	1717	961	756	1	0	3	1	Gd	756	Gd	Detchd	3	NaN	GasA	Gd	Y	7	5	1915-01-02	WD	Abnorml	140000	Low-Mid
4	5	14260	Gtl	NoRidge	1Fam	2000	2000	AllPub	PConc	CompShg	Gable	VinylSd	TA	2198	1145	1053	2	1	4	1	Gd	1145	TA	Attchd	3	NaN	GasA	Ex	Y	8	5	2000-01-12	WD	Normal	250000	High
5	6	14115	Gtl	Mitchel	1Fam	1993	1995	AllPub	Wood	CompShg	Gable	VinylSd	TA	1362	796	566	1	1	1	1	TA	796	TA	Attchd	2	NaN	GasA	Ex	Y	5	5	1993-01-10	WD	Normal	143000	Low-Mid
6	7	10084	Gtl	Somerst	1Fam	2004	2005	AllPub	PConc	CompShg	Gable	VinylSd	TA	1694	1694	0	2	0	3	1	Gd	1686	TA	Attchd	2	NaN	GasA	Ex	Y	8	5	2004-01-08	WD	Normal	307000	High
7	8	10382	Gtl	NWAmes	1Fam	1973	1973	AllPub	CBlock	CompShg	Gable	HdBoard	TA	2090	1107	983	2	1	3	1	TA	1107	TA	Attchd	2	NaN	GasA	Ex	Y	7	6	1973-01-11	WD	Normal	200000	Mid-High
8	9	6120	Gtl	OldTown	1Fam	1931	1950	AllPub	BrkTil	CompShg	Gable	BrkFace	TA	1774	1022	752	2	0	2	2	TA	952	TA	Detchd	2	NaN	GasA	Gd	Y	7	5	1931-01-04	WD	Abnorml	129900	Low
9	10	7420	Gtl	BrkSide	2fmCon	1939	1950	AllPub	BrkTil	CompShg	Gable	MetalSd	TA	1077	1077	0	1	0	2	2	TA	991	TA	Attchd	1	NaN	GasA	Ex	Y	5	6	1939-01-01	WD	Normal	118000	Low

Last rows

	Id	LotArea	LandSlope	Neighborhood	BldgType	YearBuilt	YearRemodAdd	Utilities	Foundation	RoofMatl	RoofStyle	Exterior1st	ExterCond	GrLivArea	1stFlrSF	2ndFlrSF	FullBath	HalfBath	BedroomAbvGr	KitchenAbvGr	KitchenQual	TotalBsmtSF	BsmtCond	GarageType	GarageCars	PoolQC	Heating	HeatingQC	CentralAir	OverallQual	OverallCond	DateSold	SaleType	SaleCondition	SalePrice	SalePriceQCut
1450	1451	9000	Gtl	NAmes	Duplex	1974	1974	AllPub	CBlock	CompShg	Gable	VinylSd	TA	1792	896	896	2	2	4	2	TA	896	TA	NaN	0	NaN	GasA	TA	Y	5	5	1974-01-09	WD	Normal	136000	Low-Mid
1451	1452	9262	Gtl	Somerst	1Fam	2008	2009	AllPub	PConc	CompShg	Gable	CemntBd	TA	1578	1578	0	2	0	3	1	Ex	1573	TA	Attchd	3	NaN	GasA	Ex	Y	8	5	2008-01-05	New	Partial	287090	High
1452	1453	3675	Gtl	Edwards	TwnhsE	2005	2005	AllPub	PConc	CompShg	Gable	VinylSd	TA	1072	1072	0	1	0	2	1	TA	547	TA	Basment	2	NaN	GasA	Gd	Y	5	5	2005-01-05	WD	Normal	145000	Low-Mid
1453	1454	17217	Gtl	Mitchel	1Fam	2006	2006	AllPub	PConc	CompShg	Gable	VinylSd	TA	1140	1140	0	1	0	3	1	TA	1140	TA	NaN	0	NaN	GasA	Ex	Y	5	5	2006-01-07	WD	Abnorml	84500	Low
1454	1455	7500	Gtl	Somerst	1Fam	2004	2005	AllPub	PConc	CompShg	Gable	VinylSd	TA	1221	1221	0	2	0	2	1	Gd	1221	TA	Attchd	2	NaN	GasA	Ex	Y	7	5	2004-01-10	WD	Normal	185000	Mid-High
1455	1456	7917	Gtl	Gilbert	1Fam	1999	2000	AllPub	PConc	CompShg	Gable	VinylSd	TA	1647	953	694	2	1	3	1	TA	953	TA	Attchd	2	NaN	GasA	Ex	Y	6	5	1999-01-08	WD	Normal	175000	Mid-High
1456	1457	13175	Gtl	NWAmes	1Fam	1978	1988	AllPub	CBlock	CompShg	Gable	Plywood	TA	2073	2073	0	2	0	3	1	TA	1542	TA	Attchd	2	NaN	GasA	TA	Y	6	6	1978-01-02	WD	Normal	210000	Mid-High
1457	1458	9042	Gtl	Crawfor	1Fam	1941	2006	AllPub	Stone	CompShg	Gable	CemntBd	Gd	2340	1188	1152	2	0	4	1	Gd	1152	Gd	Attchd	1	NaN	GasA	Ex	Y	7	9	1941-01-05	WD	Normal	266500	High
1458	1459	9717	Gtl	NAmes	1Fam	1950	1996	AllPub	CBlock	CompShg	Hip	MetalSd	TA	1078	1078	0	1	0	2	1	Gd	1078	TA	Attchd	1	NaN	GasA	Gd	Y	5	6	1950-01-04	WD	Normal	142125	Low-Mid
1459	1460	9937	Gtl	Edwards	1Fam	1965	1965	AllPub	CBlock	CompShg	Gable	HdBoard	TA	1256	1256	0	1	1	3	1	TA	1256	TA	Attchd	1	NaN	GasA	Gd	Y	5	6	1965-01-06	WD	Normal	147500	Low-Mid

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block